Class AutoqueryingFrameCache

source code

object --+    
         |    
FrameCache --+
             |
            AutoqueryingFrameCache

This subclass of FrameCache will query ligo_data_find automatically,
so no LAL-cache files are required. Limitation: you'll need one instance
per frame type.

Constructor:
    AutoqueryingFrameCache(frametype, hostPortString=None, scratchdir=None,
        verbose=False)

Inputs:
    frametype is the type of GWF frame you seek (e.g. RDS_R_L1).
    hostPortString is the name of the LDR server and optionally,
        with colon separation, the port (e.g. ldr.ligo.caltech.edu)
    scratchdir determines where to locally cache frames. If None, no
        caching is performed.

Example:
>>> from pylal import frutils
>>> d = frutils.AutoqueryingFrameCache(frametype="H1_RDS_C03_L2", scratchdir="/tmp", verbose=True)
>>> data = d.fetch("H1:LSC-STRAIN", 861417967, 861417969)
Copying /Users/nvf/temp/H-H1_RDS_C03_L2-861417967-128.gwf -->
          /tmp/H-H1_RDS_C03_L2-861417967-128.gwf.
>>> print(data)
[  1.68448009e-16   1.69713183e-16   1.71046196e-16 ...,   1.80974629e-16
   1.80911765e-16   1.80804879e-16] {'dt': 6.103515625e-05, 'segments': [segment(861417967, 861417969)], 'comments': [], 'name': 'H1:LSC-STRAIN'}
>>> exit()
Removing /tmp/H-H1_RDS_C03_L2-861417967-128.gwf.

Using AutoqueryingFrameCache outside of LDG clusters, using Caltech as a
gateway:
 * Just the first time you do this procedure: "sudo mkdir /data && sudo chown
   albert.einstein /data" (replace albert.einstein with your local username;
   /data may be different for different clusters)
 * Set the LIGO_DATAFIND_SERVER environment variable to ldr.ligo.caltech.edu
   (or the LDR server of the LDG cluster nearest you)
 * Use "sshfs -o ssh_command=gsissh
   albert.einstein@ldas-pcdev1.ligo.caltech.edu:/data /data" (replace
   albert.einstein with your cluster username)
 * Use "umount /data" when you're done. Unmounting cleanly will help prevent
   headaches the next time you want to set this up.